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Multimedia learning objects for learning Java Peter Chalk & Richard Haynes London Metropolitan University Learning Objects for Computing LTSN-ICS Workshop.

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Presentation on theme: "Multimedia learning objects for learning Java Peter Chalk & Richard Haynes London Metropolitan University Learning Objects for Computing LTSN-ICS Workshop."— Presentation transcript:

1 Multimedia learning objects for learning Java Peter Chalk & Richard Haynes London Metropolitan University Learning Objects for Computing LTSN-ICS Workshop Jan 26th 2004 London Metropolitan University www.unl.ac.uk/ltri/learningobjects learning.unl.ac.uk/java1/

2 Summary Motivation Concept development Learning Object design & implementation Reusability in context Research & evaluation Issues for the future

3 Motivation Programming module failure rate Students not engaging or enjoying Evaluation report recommended redesign Include on-line support: VLE & LOs Team-based approach: academics, researchers & developer Prototyping methodology: evaluation & feedback

4 Concept development Support needs identified for: –Introductory Java concepts (scaffolding) –IDE & getting started (JCreator) –Object World (now AWT) graphics library Requirements discussion team-based –developing text, visualisation, animation, code and self-assessment quiz etc

5 Learning Object (LO) design & implementation Text as introduction and container Visualisation, animation & multimedia Control & GUI/ HCI –show animation –next frame Code animator Self-assessment & feedback

6 Text LO (also acts as container for animation)

7 Concept LO (while loop) plus code animation

8 Feedback LOs for self assessment – fill-in & drag/drop

9 Reusability in context Repository and archive –multiple module –multiple approaches/ texts –multiple topics/ weeks Use in context - WebCT module instance LO access list in WebCT for tracking page hits

10 Repository and archive

11 Use in context - WebCT module instance

12 List of Los in WebCT content module (for tracking page hits)

13 Research & evaluation Following slides show research data –LO page hits, comparative – usefulness –time per page hit – quality –student history of page hits shows learning paths or patterns (optimal/ failing) –student evaluation – perceived usefulness

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18 Issues for the future Repository: –Sharing & blending –meta data - IMS? –who? LTSN? Ease of use: index, keywords, browse Context (code) LOs – link to concept LOs Intelligent agent research

19 Links LTRI: http://www.unl.ac.uk/ltri/learningobjects LO list: http://learning.unl.ac.uk/java1/ WebCT module: http://webct.unl.ac.uk/SCRIPT/IM110/scripts/serve_home JICC: http://www.ics.ltsn.ac.uk/events/jicc8/http://www.unl.ac.uk/ltri/learningobjectshttp://learning.unl.ac.uk/java1/ http://webct.unl.ac.uk/SCRIPT/IM110/scripts/serve_homehttp://www.ics.ltsn.ac.uk/events/jicc8/


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